6851%), mean absolute error (21.9590), root mean square error (29.7358), and root relative squared error (36.5556%) values in the test dataset. This study can help policy-makers develop appropriate policies to control the harms of not only the current pandemic crisis but also an unforeseeable crisis.The COVID-19 pandemic has caused people to rethink touch-enabled displays' use in publicly accessible locations because of germs. This article discusses the touchscreen industry's challenges, and how antimicrobial coatings may be one potential solution.How can universities build institutional partnerships through supporting community geography projects? This paper details the case of university members seeking to achieve a community goal of expanding Geosciences education opportunities, while also targeting a long-range goal of improving diversity within the university Geosciences. Over the course of one year, two Ph.D students collaborated with community members affiliated with a local middle school to design and organize the School of Earth, Society, and Environment (SESE) Geosciences Camp for Middle School Girls, held in August 2019. This paper deconstructs and critiques the camp organizing process and its outcomes. The conclusion addresses what worked and what did not as a model for future attempts at more sustainable institutional partnerships serving community geography projects.Malaria, one of the longest-known vector-borne diseases, poses a major health problem in tropical and subtropical regions of the world. Its complexity is currently being exacerbated by the emerging COVID-19 pandemic and the threats of its second wave and looming third wave. We formulate and analyze a mathematical model incorporating some epidemiological features of the co-dynamics of both malaria and COVID-19. Sufficient conditions for the stability of the malaria only and COVID-19 only sub-models' equilibria are derived. The COVID-19 only sub-model has globally asymptotically stable equilibria while under certain condition, the malaria-only could undergo the phenomenon of backward bifurcation whenever the sub-model reproduction number is less than unity. The equilibria of the dual malaria-COVID19 model are locally asymptotically stable as global stability is precluded owing to the possible occurrence of backward bifurcation. https://www.selleckchem.com/products/nrl-1049.html Optimal control of the full model to mitigate the spread of both diseases and their co-infection are derived. Pontryagin's Maximum Principle is applied to establish the existence of the optimal control problem and to derive the necessary conditions for optimal control of the diseases. Though this is not a case study, simulation results to support theoretical analysis of the optimal control suggests that concurrently applying malaria and COVID-19 protective measures could help mitigate their spread compared to applying each preventive control measure singly as the world continues to deal with this unprecedented and unparalleled COVID-19 pandemic.Environmental, social and governance ("ESG") scores have been widely touted as indicators of share price resilience during the COVID-19 crisis. Contrary to this conventional wisdom, we present robust evidence that once industry affiliation, market-based measures of risk and accounting-based measures of performance, financial position and intangibles investments have been controlled for, ESG offers no such positive explanatory power for returns during the COVID crisis. Specifically, ESG is insignificant in fully specified returns regressions for each of the Q1 2020 COVID market crisis period and for the full COVID year of 2020. By contrast, a measure of the firm's stock of investments in internally generated intangible assets is an economically and statistically significant positive determinant of returns during each of the Q1 market implosion and full 2020 COVID year periods. Our results are robust to alternative measures of returns, as well as for using Refinitiv, Refinitiv II and MSCI data to capture ESG performance. We conclude that ESG did not immunize stocks during the COVID-19 crisis, but those investments in intangible assets did.We estimate a monthly interacted-VAR model for euro area macroeconomic aggregates allowing for the impact of uncertainty shocks to depend on the state of the average outlook for the economy measured by survey data. We find that, in response to an uncertainty shock, the peak decrease in industrial production and inflation is around three and a half times larger during pessimistic times. We build an assessment of the role of uncertainty for a path of innovations consistent with the increase in the observed VSTOXX measure of uncertainty since the outset of the COVID-19 epidemics in February and March 2020. Industrial production is predicted to experience a year-over-year peak loss of around 9.2% in the fourth quarter of 2020, and subsequently to recover with a rebound to pre-crisis levels roughly in June 2021. The large impact is the result of an extreme shock to uncertainty occurring at a time of very negative expectations for the economic outlook. We conduct simulations that quantify the potential benefit of recovered confidence in reducing the uncertainty-induced losses associated with a possible third wave of the pandemic.COVID symptom screening, a new workplace practice, is already affecting many millions of American workers. As of this writing, 34 states already require, and federal guidance recommends, frequent screening of at least some employees for fever or other symptoms. This paper provides the first empirical work identifying major features of symptom screening in a broad population and exploring the trade-offs employers face in using daily symptom screening. First, we find that common symptom checkers could screen out up to 7 percent of workers each day, depending on the measure used. Second, we find that the measures used will matter for three reasons Many respondents report any given symptom, survey design affects responses, and demographic groups report symptoms at different rates, even absent fluctuations in likely COVID exposure. This last pattern can potentially lead to disparate impacts and is important from an equity standpoint.